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Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.

copied from cf-post-staging / r-unmarked
Type Size Name Uploaded Downloads Labels
conda 2.8 MB | win-64/r-unmarked-1.4.1-r44h72df5a6_1.conda  1 year and 2 months ago 515 main
conda 2.8 MB | win-64/r-unmarked-1.4.1-r43h72df5a6_1.conda  1 year and 2 months ago 483 main
conda 2.9 MB | osx-64/r-unmarked-1.4.1-r43h3eeea24_1.conda  1 year and 2 months ago 467 main
conda 2.9 MB | osx-64/r-unmarked-1.4.1-r44h3eeea24_1.conda  1 year and 2 months ago 471 main
conda 2.9 MB | linux-64/r-unmarked-1.4.1-r43h4387864_1.conda  1 year and 2 months ago 1511 main
conda 2.9 MB | linux-64/r-unmarked-1.4.1-r44h4387864_1.conda  1 year and 2 months ago 1479 main
conda 2.8 MB | win-64/r-unmarked-1.4.1-r41h56ffbbb_0.conda  1 year and 9 months ago 568 main
conda 2.9 MB | osx-64/r-unmarked-1.4.1-r43h012540a_0.conda  1 year and 9 months ago 474 main
conda 2.8 MB | osx-64/r-unmarked-1.4.1-r42h012540a_0.conda  1 year and 9 months ago 427 main
conda 2.9 MB | linux-64/r-unmarked-1.4.1-r43h7ce84a7_0.conda  1 year and 9 months ago 1919 main
conda 2.9 MB | linux-64/r-unmarked-1.4.1-r42h7ce84a7_0.conda  1 year and 9 months ago 1888 main

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